Update SnowWaterEquivalent_trainingdata.py

SnowWaterEquivalent_trainingdata.py

@@ -39,13 +39,13 @@ class SnowWaterEquivalentDataset(datasets.GeneratorBasedBuilder):
             supervised_keys=None,
             homepage="https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata",
             citation="""@misc {geoweaver_2025,
-    author       = { {Geoweaver} },
-    title        = { SnowWaterEquivalent_trainingdata},
-    year         = 2025,
-    url          = { https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata },
-    doi          = { 10.57967/hf/4179 },
-    publisher    = { Hugging Face }
-}""",
+                        author       = { {Geoweaver} },
+                        title        = { SnowWaterEquivalent_trainingdata},
+                        year         = 2025,
+                        url          = { https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata },
+                        doi          = { 10.57967/hf/4179 },
+                        publisher    = { Hugging Face }
+                    }""",
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager):
@@ -59,20 +59,21 @@ class SnowWaterEquivalentDataset(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, filepath):
         with open(filepath, "r", encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                data = json.loads(line)
-                yield idx, {
-                    "date": data["date"],
-                    "lat": data["lat"],
-                    "lon": data["lon"],
-                    "SWE": data.get("SWE", None),
-                    "air_temperature_tmmn": data.get("air_temperature_tmmn", None),
-                    "precipitation_amount": data.get("precipitation_amount", None),
-                    "relative_humidity_rmax": data.get("relative_humidity_rmax", None),
-                    "relative_humidity_rmin": data.get("relative_humidity_rmin", None),
-                    "wind_speed": data.get("wind_speed", None),
-                    "fsca": data.get("fsca", None),
-                    "cumulative_SWE": data.get("cumulative_SWE", None),
-                    "station_name": data.get("station_name", "Unknown"),
-                    "Elevation": data.get("Elevation", None),
-                }
+        reader = csv.DictReader(f)
+        for idx, row in enumerate(reader):
+            yield idx, row
+            yield idx, {
+                "date": data["date"],
+                "lat": data["lat"],
+                "lon": data["lon"],
+                "SWE": data.get("SWE", None),
+                "air_temperature_tmmn": data.get("air_temperature_tmmn", None),
+                "precipitation_amount": data.get("precipitation_amount", None),
+                "relative_humidity_rmax": data.get("relative_humidity_rmax", None),
+                "relative_humidity_rmin": data.get("relative_humidity_rmin", None),
+                "wind_speed": data.get("wind_speed", None),
+                "fsca": data.get("fsca", None),
+                "cumulative_SWE": data.get("cumulative_SWE", None),
+                "station_name": data.get("station_name", "Unknown"),
+                "Elevation": data.get("Elevation", None),
+            }